Take your career to the next level as a Senior ML-Ops Engineer at ShyftLabs. Focus on building reliable Machine Learning infrastructure for high-profile enterprise clients.ShyftLabs is on the lookout for a Senior ML-Ops Engineer with extensive experience in Machine Learning and software development practices. In this role, you will engage with various teams to enhance workflow efficiencies and product delivery timelines. This position is fully remote within Canada, with hybrid options available in Toronto.Key Responsibilities:
Develop and implement scalable ML systems
Produce and maintain production-quality code
Collaborate with cross-functional teams for ML projects
Build abstractions to support data scientists' needs
Ensure effective lifecycle management of ML applicationsRequirements:
Advanced degree in Computer Science or related discipline preferred
3+ years of software development experience in Python
3+ years of hands-on Machine Learning application
Knowledge of big data technologies such as Hadoop
Proficiency with ML-Ops tools including MLFlow and DVCDrive innovation in Machine Learning at ShyftLabs, enhancing system reliability and delivering impactful solutions.#J-18808-Ljbffr

📌 Senior Ml Ops Engineer At Shyftlabs Winnipeg (Canada)
🏢 ShyftLabs
📍 Canada